Overview

Brought to you by YData

Dataset statistics

Number of variables26
Number of observations8930
Missing cells25
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory208.0 B

Variable types

Numeric25
DateTime1

Alerts

COSTE_MTO_CORR_MEDIO_POR_ORDEN is highly overall correlated with COSTE_MTO_MEDIO_POR_ORDENHigh correlation
COSTE_MTO_CORR_TOTAL is highly overall correlated with COSTE_MTO_TOTAL and 5 other fieldsHigh correlation
COSTE_MTO_MEDIO_POR_ORDEN is highly overall correlated with COSTE_MTO_CORR_MEDIO_POR_ORDEN and 1 other fieldsHigh correlation
COSTE_MTO_PREV_MEDIO_POR_ORDEN is highly overall correlated with COSTE_MTO_MEDIO_POR_ORDENHigh correlation
COSTE_MTO_PREV_TOTAL is highly overall correlated with COSTE_MTO_TOTAL and 4 other fieldsHigh correlation
COSTE_MTO_TOTAL is highly overall correlated with COSTE_MTO_CORR_TOTAL and 7 other fieldsHigh correlation
DIAS_ENTRE_FALL_CONSEC is highly overall correlated with COSTE_MTO_CORR_TOTAL and 5 other fieldsHigh correlation
DURACION_HORAS_CORR_MEDIO_POR_ORDEN is highly overall correlated with DURACION_HORAS_MEDIO_POR_ORDENHigh correlation
DURACION_HORAS_CORR_TOTAL is highly overall correlated with COSTE_MTO_CORR_TOTAL and 5 other fieldsHigh correlation
DURACION_HORAS_MEDIO_POR_ORDEN is highly overall correlated with DURACION_HORAS_CORR_MEDIO_POR_ORDEN and 1 other fieldsHigh correlation
DURACION_HORAS_PREV_MEDIO_POR_ORDEN is highly overall correlated with DURACION_HORAS_MEDIO_POR_ORDENHigh correlation
DURACION_HORAS_PREV_TOTAL is highly overall correlated with COSTE_MTO_PREV_TOTAL and 3 other fieldsHigh correlation
DURACION_HORAS_TOTAL is highly overall correlated with COSTE_MTO_CORR_TOTAL and 8 other fieldsHigh correlation
Ordenes_Correctivo is highly overall correlated with COSTE_MTO_CORR_TOTAL and 5 other fieldsHigh correlation
Ordenes_Preventivo is highly overall correlated with COSTE_MTO_PREV_TOTAL and 4 other fieldsHigh correlation
Total_Ordenes is highly overall correlated with COSTE_MTO_CORR_TOTAL and 8 other fieldsHigh correlation
ID_Registro is uniformly distributed Uniform
ID_Registro has unique values Unique
Fecha has unique values Unique

Reproduction

Analysis started2025-02-19 11:40:55.967029
Analysis finished2025-02-19 11:43:20.535913
Duration2 minutes and 24.57 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

ID_Registro
Real number (ℝ)

Uniform  Unique 

Distinct8930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4499.0767
Minimum1
Maximum9000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:20.641833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile452.45
Q12247.25
median4498.5
Q36744.75
95-th percentile8547.55
Maximum9000
Range8999
Interquartile range (IQR)4497.5

Descriptive statistics

Standard deviation2596.5808
Coefficient of variation (CV)0.57713638
Kurtosis-1.1989868
Mean4499.0767
Median Absolute Deviation (MAD)2249
Skewness0.00024617188
Sum40176755
Variance6742232
MonotonicityStrictly increasing
2025-02-19T11:43:20.885964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5999 1
 
< 0.1%
5993 1
 
< 0.1%
5994 1
 
< 0.1%
5995 1
 
< 0.1%
5996 1
 
< 0.1%
5997 1
 
< 0.1%
5998 1
 
< 0.1%
6000 1
 
< 0.1%
6008 1
 
< 0.1%
Other values (8920) 8920
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
9000 1
< 0.1%
8999 1
< 0.1%
8998 1
< 0.1%
8997 1
< 0.1%
8996 1
< 0.1%
8995 1
< 0.1%
8994 1
< 0.1%
8993 1
< 0.1%
8992 1
< 0.1%
8991 1
< 0.1%

ID_Equipo
Real number (ℝ)

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.32296
Minimum1
Maximum499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:21.117903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q1119
median243
Q3370
95-th percentile474
Maximum499
Range498
Interquartile range (IQR)251

Descriptive statistics

Standard deviation144.24115
Coefficient of variation (CV)0.58796435
Kurtosis-1.1968542
Mean245.32296
Median Absolute Deviation (MAD)125
Skewness0.036997931
Sum2190734
Variance20805.51
MonotonicityNot monotonic
2025-02-19T11:43:21.366396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202 34
 
0.4%
155 32
 
0.4%
32 30
 
0.3%
475 30
 
0.3%
229 30
 
0.3%
401 29
 
0.3%
374 28
 
0.3%
5 28
 
0.3%
368 28
 
0.3%
81 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
1 16
0.2%
2 13
0.1%
3 18
0.2%
4 20
0.2%
5 28
0.3%
6 23
0.3%
7 15
0.2%
8 25
0.3%
9 13
0.1%
10 24
0.3%
ValueCountFrequency (%)
499 10
0.1%
498 15
0.2%
497 19
0.2%
496 24
0.3%
495 19
0.2%
494 23
0.3%
493 21
0.2%
492 16
0.2%
491 11
0.1%
490 11
0.1%

Fecha
Date

Unique 

Distinct8930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
Minimum2020-01-01 00:00:00
Maximum2021-01-09 23:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-02-19T11:43:21.605697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:21.852521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Temperatura_C
Real number (ℝ)

Distinct5896
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.664363
Minimum50.01
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:22.104882image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum50.01
5-th percentile54.8545
Q174.44
median99.58
Q3124.6375
95-th percentile145.0855
Maximum150
Range99.99
Interquartile range (IQR)50.1975

Descriptive statistics

Standard deviation28.903842
Coefficient of variation (CV)0.29001181
Kurtosis-1.198364
Mean99.664363
Median Absolute Deviation (MAD)25.115
Skewness0.0095377255
Sum890002.76
Variance835.43208
MonotonicityNot monotonic
2025-02-19T11:43:22.376530image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 6
 
0.1%
64.88 6
 
0.1%
104.24 6
 
0.1%
87.71 6
 
0.1%
83.46 6
 
0.1%
52.65 5
 
0.1%
117.82 5
 
0.1%
59.15 5
 
0.1%
94.82 5
 
0.1%
77.08 5
 
0.1%
Other values (5886) 8875
99.4%
ValueCountFrequency (%)
50.01 1
 
< 0.1%
50.02 5
0.1%
50.03 2
 
< 0.1%
50.04 1
 
< 0.1%
50.05 1
 
< 0.1%
50.06 1
 
< 0.1%
50.07 1
 
< 0.1%
50.09 2
 
< 0.1%
50.11 1
 
< 0.1%
50.12 2
 
< 0.1%
ValueCountFrequency (%)
150 1
< 0.1%
149.99 2
< 0.1%
149.95 1
< 0.1%
149.94 1
< 0.1%
149.93 1
< 0.1%
149.91 1
< 0.1%
149.9 1
< 0.1%
149.89 1
< 0.1%
149.88 1
< 0.1%
149.86 1
< 0.1%

Vibracion_mm_s
Real number (ℝ)

Distinct491
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.540766
Minimum0.1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:22.609215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.34
Q11.32
median2.53
Q33.76
95-th percentile4.76
Maximum5
Range4.9
Interquartile range (IQR)2.44

Descriptive statistics

Standard deviation1.4108153
Coefficient of variation (CV)0.55527166
Kurtosis-1.1850158
Mean2.540766
Median Absolute Deviation (MAD)1.22
Skewness0.0072647527
Sum22689.04
Variance1.9903999
MonotonicityNot monotonic
2025-02-19T11:43:22.909859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.95 38
 
0.4%
3.89 32
 
0.4%
2.03 30
 
0.3%
4.04 30
 
0.3%
0.72 30
 
0.3%
1.98 30
 
0.3%
4.97 29
 
0.3%
3.53 29
 
0.3%
2.47 29
 
0.3%
3.34 28
 
0.3%
Other values (481) 8625
96.6%
ValueCountFrequency (%)
0.1 8
 
0.1%
0.11 23
0.3%
0.12 14
0.2%
0.13 19
0.2%
0.14 16
0.2%
0.15 21
0.2%
0.16 20
0.2%
0.17 26
0.3%
0.18 10
 
0.1%
0.19 22
0.2%
ValueCountFrequency (%)
5 13
0.1%
4.99 16
0.2%
4.98 16
0.2%
4.97 29
0.3%
4.96 13
0.1%
4.95 21
0.2%
4.94 19
0.2%
4.93 22
0.2%
4.92 15
0.2%
4.91 25
0.3%

Horas_Operativas
Real number (ℝ)

Distinct8518
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50438.671
Minimum0
Maximum99982
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:23.156854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5093.85
Q125246
median50823.5
Q375798.75
95-th percentile94955.9
Maximum99982
Range99982
Interquartile range (IQR)50552.75

Descriptive statistics

Standard deviation28972.669
Coefficient of variation (CV)0.5744138
Kurtosis-1.2120176
Mean50438.671
Median Absolute Deviation (MAD)25244.5
Skewness-0.024798545
Sum4.5041733 × 108
Variance8.3941554 × 108
MonotonicityNot monotonic
2025-02-19T11:43:23.402196image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28061 3
 
< 0.1%
41888 3
 
< 0.1%
3651 3
 
< 0.1%
11655 3
 
< 0.1%
77892 3
 
< 0.1%
44590 3
 
< 0.1%
14779 3
 
< 0.1%
10919 3
 
< 0.1%
61432 3
 
< 0.1%
39175 3
 
< 0.1%
Other values (8508) 8900
99.7%
ValueCountFrequency (%)
0 1
< 0.1%
18 1
< 0.1%
24 1
< 0.1%
44 1
< 0.1%
49 1
< 0.1%
87 1
< 0.1%
90 1
< 0.1%
109 1
< 0.1%
111 2
< 0.1%
125 1
< 0.1%
ValueCountFrequency (%)
99982 1
< 0.1%
99939 1
< 0.1%
99935 2
< 0.1%
99933 1
< 0.1%
99905 1
< 0.1%
99898 1
< 0.1%
99890 1
< 0.1%
99881 1
< 0.1%
99874 1
< 0.1%
99872 1
< 0.1%

MEDIA_TEMP
Real number (ℝ)

Distinct498
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.664363
Minimum79.431429
Maximum121.92562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:23.649306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum79.431429
5-th percentile87.739286
Q194.916
median99.887778
Q3104.34182
95-th percentile110.48647
Maximum121.92562
Range42.494196
Interquartile range (IQR)9.4258182

Descriptive statistics

Standard deviation6.8556106
Coefficient of variation (CV)0.068786981
Kurtosis0.020893451
Mean99.664363
Median Absolute Deviation (MAD)4.8404444
Skewness-0.098354975
Sum890002.76
Variance46.999397
MonotonicityNot monotonic
2025-02-19T11:43:23.889405image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.0832353 34
 
0.4%
95.41 33
 
0.4%
102.045625 32
 
0.4%
107.657 30
 
0.3%
94.916 30
 
0.3%
101.7836667 30
 
0.3%
98.61551724 29
 
0.3%
100.5746429 28
 
0.3%
107.7146429 28
 
0.3%
103.1985714 28
 
0.3%
Other values (488) 8628
96.6%
ValueCountFrequency (%)
79.43142857 14
0.2%
80.07 11
0.1%
80.087 20
0.2%
80.98388889 18
0.2%
82.99307692 13
0.1%
83.10466667 15
0.2%
83.3024 25
0.3%
83.494 10
 
0.1%
83.9975 12
0.1%
84.15722222 18
0.2%
ValueCountFrequency (%)
121.925625 16
0.2%
117.6672222 18
0.2%
117.1238095 21
0.2%
117.09 7
 
0.1%
115.9828571 21
0.2%
115.7063158 19
0.2%
114.6210526 19
0.2%
113.87 16
0.2%
113.4826667 15
0.2%
113.2035 20
0.2%

MEDIA_VIBR
Real number (ℝ)

Distinct491
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.540766
Minimum1.2018182
Maximum3.5094444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:24.122936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.2018182
5-th percentile1.9445455
Q12.3333333
median2.5413333
Q32.745
95-th percentile3.1125
Maximum3.5094444
Range2.3076263
Interquartile range (IQR)0.41166667

Descriptive statistics

Standard deviation0.33603686
Coefficient of variation (CV)0.13225809
Kurtosis0.17567227
Mean2.540766
Median Absolute Deviation (MAD)0.20716667
Skewness-0.09490107
Sum22689.04
Variance0.11292077
MonotonicityNot monotonic
2025-02-19T11:43:24.384709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.500588235 51
 
0.6%
2.4925 36
 
0.4%
2.962777778 36
 
0.4%
2.647647059 34
 
0.4%
2.108125 32
 
0.4%
2.8203125 32
 
0.4%
2.563333333 30
 
0.3%
2.587666667 30
 
0.3%
1.903333333 30
 
0.3%
2.677333333 30
 
0.3%
Other values (481) 8589
96.2%
ValueCountFrequency (%)
1.201818182 11
0.1%
1.456666667 12
0.1%
1.61 19
0.2%
1.689285714 14
0.2%
1.734583333 24
0.3%
1.781666667 12
0.1%
1.783076923 13
0.1%
1.785263158 19
0.2%
1.798235294 17
0.2%
1.803333333 15
0.2%
ValueCountFrequency (%)
3.509444444 18
0.2%
3.338571429 14
0.2%
3.32 11
0.1%
3.316666667 12
0.1%
3.312352941 17
0.2%
3.298181818 11
0.1%
3.295882353 17
0.2%
3.290833333 12
0.1%
3.263571429 14
0.2%
3.256875 16
0.2%

MEDIA_HORAS_OPERATIVAS
Real number (ℝ)

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50438.671
Minimum29094.318
Maximum68542.385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:24.643310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum29094.318
5-th percentile38820.35
Q146299.81
median50216.708
Q354832.6
95-th percentile62118.13
Maximum68542.385
Range39448.066
Interquartile range (IQR)8532.7905

Descriptive statistics

Standard deviation7008.1178
Coefficient of variation (CV)0.13894335
Kurtosis0.049161714
Mean50438.671
Median Absolute Deviation (MAD)4307.8822
Skewness-0.1274258
Sum4.5041733 × 108
Variance49113714
MonotonicityNot monotonic
2025-02-19T11:43:24.900302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48197.20588 34
 
0.4%
50003.625 32
 
0.4%
46243.5 30
 
0.3%
43984.6 30
 
0.3%
54761.43333 30
 
0.3%
47771.96552 29
 
0.3%
49143 28
 
0.3%
54120.14286 28
 
0.3%
55113.89286 28
 
0.3%
64090.07407 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
29094.31818 22
0.2%
29204.15789 19
0.2%
29316.66667 18
0.2%
32549.33333 18
0.2%
32557.5625 16
0.2%
32679.45455 11
0.1%
33131.73684 19
0.2%
33153.68 25
0.3%
34110.81818 11
0.1%
34153.75 12
0.1%
ValueCountFrequency (%)
68542.38462 13
0.1%
68210.66667 18
0.2%
67721.08333 12
0.1%
66649.38889 18
0.2%
65661.35714 14
0.2%
65036.35 20
0.2%
64699.0625 16
0.2%
64532.61538 13
0.1%
64526.83333 12
0.1%
64507.55556 18
0.2%

Vida_util_estimada
Real number (ℝ)

Distinct487
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94784.965
Minimum70524
Maximum99982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:25.161804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum70524
5-th percentile85027
Q192591
median96342
Q398478
95-th percentile99769
Maximum99982
Range29458
Interquartile range (IQR)5887

Descriptive statistics

Standard deviation4993.1401
Coefficient of variation (CV)0.052678609
Kurtosis3.9736908
Mean94784.965
Median Absolute Deviation (MAD)2685
Skewness-1.7304081
Sum8.4642974 × 108
Variance24931448
MonotonicityNot monotonic
2025-02-19T11:43:25.405696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98035 45
 
0.5%
94122 40
 
0.4%
99079 39
 
0.4%
95620 38
 
0.4%
89711 36
 
0.4%
99861 36
 
0.4%
94216 34
 
0.4%
91463 34
 
0.4%
99935 34
 
0.4%
96491 34
 
0.4%
Other values (477) 8560
95.9%
ValueCountFrequency (%)
70524 19
0.2%
70889 19
0.2%
71579 16
0.2%
72510 22
0.2%
75876 20
0.2%
77730 14
0.2%
78763 12
0.1%
79409 19
0.2%
79443 13
0.1%
79794 15
0.2%
ValueCountFrequency (%)
99982 24
0.3%
99939 16
0.2%
99935 34
0.4%
99933 23
0.3%
99905 20
0.2%
99898 28
0.3%
99890 12
 
0.1%
99881 19
0.2%
99874 15
0.2%
99872 16
0.2%

Total_Ordenes
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.934155
Minimum7
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:25.639548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q117
median20
Q323
95-th percentile28
Maximum36
Range29
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5514601
Coefficient of variation (CV)0.22832471
Kurtosis0.06274505
Mean19.934155
Median Absolute Deviation (MAD)3
Skewness0.31836383
Sum178012
Variance20.715789
MonotonicityNot monotonic
2025-02-19T11:43:25.839036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
18 863
 
9.7%
19 770
 
8.6%
21 738
 
8.3%
17 674
 
7.5%
16 636
 
7.1%
20 621
 
7.0%
24 612
 
6.9%
15 607
 
6.8%
23 604
 
6.8%
22 535
 
6.0%
Other values (19) 2270
25.4%
ValueCountFrequency (%)
7 13
 
0.1%
8 26
 
0.3%
9 20
 
0.2%
10 13
 
0.1%
11 78
 
0.9%
12 187
 
2.1%
13 206
 
2.3%
14 350
3.9%
15 607
6.8%
16 636
7.1%
ValueCountFrequency (%)
36 21
 
0.2%
34 16
 
0.2%
33 14
 
0.2%
32 30
 
0.3%
31 54
 
0.6%
30 109
 
1.2%
29 112
 
1.3%
28 112
 
1.3%
27 240
2.7%
26 297
3.3%

Ordenes_Correctivo
Real number (ℝ)

High correlation 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.134602
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:26.050144image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median10
Q312
95-th percentile15
Maximum21
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.2670756
Coefficient of variation (CV)0.3223684
Kurtosis-0.019073187
Mean10.134602
Median Absolute Deviation (MAD)2
Skewness0.2433414
Sum90502
Variance10.673783
MonotonicityNot monotonic
2025-02-19T11:43:26.268078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 1071
12.0%
9 1013
11.3%
11 988
11.1%
8 927
10.4%
12 891
10.0%
7 763
8.5%
13 674
7.5%
14 634
7.1%
6 498
5.6%
5 382
 
4.3%
Other values (10) 1089
12.2%
ValueCountFrequency (%)
1 25
 
0.3%
3 16
 
0.2%
4 272
 
3.0%
5 382
 
4.3%
6 498
5.6%
7 763
8.5%
8 927
10.4%
9 1013
11.3%
10 1071
12.0%
11 988
11.1%
ValueCountFrequency (%)
21 21
 
0.2%
20 36
 
0.4%
19 42
 
0.5%
18 44
 
0.5%
17 125
 
1.4%
16 165
 
1.8%
15 343
 
3.8%
14 634
7.1%
13 674
7.5%
12 891
10.0%

Ordenes_Preventivo
Real number (ℝ)

High correlation 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7995521
Minimum2
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:26.499915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median10
Q312
95-th percentile15
Maximum23
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1556692
Coefficient of variation (CV)0.32202178
Kurtosis0.29769299
Mean9.7995521
Median Absolute Deviation (MAD)2
Skewness0.24273918
Sum87510
Variance9.9582482
MonotonicityNot monotonic
2025-02-19T11:43:26.697066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 1321
14.8%
11 1155
12.9%
9 996
11.2%
12 944
10.6%
8 928
10.4%
6 642
7.2%
7 611
6.8%
13 516
 
5.8%
5 452
 
5.1%
14 401
 
4.5%
Other values (9) 964
10.8%
ValueCountFrequency (%)
2 50
 
0.6%
3 75
 
0.8%
4 235
 
2.6%
5 452
 
5.1%
6 642
7.2%
7 611
6.8%
8 928
10.4%
9 996
11.2%
10 1321
14.8%
11 1155
12.9%
ValueCountFrequency (%)
23 16
 
0.2%
19 15
 
0.2%
18 88
 
1.0%
17 97
 
1.1%
16 197
 
2.2%
15 191
 
2.1%
14 401
 
4.5%
13 516
5.8%
12 944
10.6%
11 1155
12.9%

DIAS_ENTRE_FALL_CONSEC
Real number (ℝ)

High correlation 

Distinct410
Distinct (%)4.6%
Missing25
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean39.926784
Minimum13
Maximum108.33333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:26.918069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile23.533333
Q129.25
median37
Q346.142857
95-th percentile69.6
Maximum108.33333
Range95.333333
Interquartile range (IQR)16.892857

Descriptive statistics

Standard deviation14.599971
Coefficient of variation (CV)0.3656686
Kurtosis2.284943
Mean39.926784
Median Absolute Deviation (MAD)8.375
Skewness1.3285466
Sum355548.01
Variance213.15916
MonotonicityNot monotonic
2025-02-19T11:43:27.163631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 74
 
0.8%
52.33333333 72
 
0.8%
27.92307692 66
 
0.7%
43 63
 
0.7%
55 63
 
0.7%
30 62
 
0.7%
33.18181818 57
 
0.6%
45.75 56
 
0.6%
41 54
 
0.6%
33.09090909 54
 
0.6%
Other values (400) 8284
92.8%
ValueCountFrequency (%)
13 21
0.2%
16.9 19
0.2%
17.28571429 17
0.2%
17.38888889 12
0.1%
18.05 21
0.2%
19 21
0.2%
19.8125 20
0.2%
20 12
0.1%
20.05882353 13
0.1%
20.26315789 20
0.2%
ValueCountFrequency (%)
108.3333333 21
0.2%
94.75 18
0.2%
91 14
0.2%
89.5 13
0.1%
89.25 22
0.2%
89 18
0.2%
88.33333333 10
0.1%
87.66666667 21
0.2%
87.5 19
0.2%
83.25 12
0.1%

COSTE_MTO_CORR_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4987.6126
Minimum2071.4862
Maximum8159.0614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:27.410418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2071.4862
5-th percentile3256.06
Q14416.6207
median5057.6483
Q35592.1724
95-th percentile6382.8967
Maximum8159.0614
Range6087.5752
Interquartile range (IQR)1175.5516

Descriptive statistics

Standard deviation957.00038
Coefficient of variation (CV)0.19187544
Kurtosis0.61284773
Mean4987.6126
Median Absolute Deviation (MAD)595.98317
Skewness-0.12341864
Sum44539380
Variance915849.73
MonotonicityNot monotonic
2025-02-19T11:43:28.702059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4731.504 34
 
0.4%
4343.6275 32
 
0.4%
5323.669286 30
 
0.3%
4925.695556 30
 
0.3%
4616.087143 30
 
0.3%
5198.605 29
 
0.3%
4301.799 28
 
0.3%
4787.365 28
 
0.3%
5105.698333 28
 
0.3%
5562.093 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
2071.48625 21
0.2%
2092.154444 15
0.2%
2201.694 18
0.2%
2203.304444 19
0.2%
2637.113333 19
0.2%
2684.46375 21
0.2%
2787.2475 11
0.1%
2800.600909 22
0.2%
2855.385 13
0.1%
2869.835 16
0.2%
ValueCountFrequency (%)
8159.061429 21
0.2%
8071.452 24
0.3%
7789.38 16
0.2%
7582.626667 21
0.2%
7400.464545 15
0.2%
7388.197143 23
0.3%
7072.002222 13
0.1%
6935.055714 16
0.2%
6920.953333 21
0.2%
6904.836667 16
0.2%

DURACION_HORAS_CORR_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct374
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.123884
Minimum12.125
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:28.975712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum12.125
5-th percentile16.5
Q121.272727
median24.181818
Q327
95-th percentile31.724038
Maximum38
Range25.875
Interquartile range (IQR)5.7272727

Descriptive statistics

Standard deviation4.3716738
Coefficient of variation (CV)0.18121766
Kurtosis0.26557796
Mean24.123884
Median Absolute Deviation (MAD)2.8961039
Skewness0.08947
Sum215426.28
Variance19.111532
MonotonicityNot monotonic
2025-02-19T11:43:29.224857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 118
 
1.3%
19 103
 
1.2%
24 101
 
1.1%
22.25 100
 
1.1%
28 85
 
1.0%
23.5 78
 
0.9%
32 72
 
0.8%
26 72
 
0.8%
25.44444444 66
 
0.7%
23 65
 
0.7%
Other values (364) 8070
90.4%
ValueCountFrequency (%)
12.125 20
0.2%
12.33333333 24
0.3%
12.8 18
0.2%
13.28571429 30
0.3%
13.6 22
0.2%
13.90909091 16
0.2%
14.33333333 16
0.2%
15 16
0.2%
15.11111111 12
 
0.1%
15.30769231 17
0.2%
ValueCountFrequency (%)
38 16
0.2%
37.83333333 17
0.2%
37.28571429 14
0.2%
37 25
0.3%
36.14285714 12
0.1%
34.61538462 16
0.2%
33.92857143 25
0.3%
33.57142857 17
0.2%
33.25 10
 
0.1%
33.125 13
0.1%

COSTE_MTO_CORR_TOTAL
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50532.153
Minimum6095.01
Maximum114016.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:29.466748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6095.01
5-th percentile20385.41
Q138049.48
median49777.44
Q362689.92
95-th percentile83133.57
Maximum114016.5
Range107921.49
Interquartile range (IQR)24640.44

Descriptive statistics

Standard deviation18662.047
Coefficient of variation (CV)0.36931034
Kurtosis0.047034903
Mean50532.153
Median Absolute Deviation (MAD)12468.92
Skewness0.31957073
Sum4.5125212 × 108
Variance3.4827199 × 108
MonotonicityNot monotonic
2025-02-19T11:43:29.707644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47315.04 34
 
0.4%
17374.51 32
 
0.4%
74531.37 30
 
0.3%
44331.26 30
 
0.3%
32312.61 30
 
0.3%
41588.84 29
 
0.3%
43017.99 28
 
0.3%
47873.65 28
 
0.3%
61268.38 28
 
0.3%
55620.93 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
6095.01 25
0.3%
11008.47 18
0.2%
11148.99 11
0.1%
12395.74 21
0.2%
13060.32 21
0.2%
13551.47 24
0.3%
15436.74 11
0.1%
16571.89 21
0.2%
17132.31 13
0.1%
17219.01 16
0.2%
ValueCountFrequency (%)
114016.5 20
0.2%
113072.63 16
0.2%
111759.65 14
0.2%
99189.08 21
0.2%
97504.85 20
0.2%
96404.91 12
0.1%
95066.93 19
0.2%
94853.37 25
0.3%
93603.15 22
0.2%
92213.49 20
0.2%

DURACION_HORAS_CORR_TOTAL
Real number (ℝ)

High correlation 

Distinct264
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.96775
Minimum37
Maximum554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:29.954548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile99
Q1185
median242
Q3300
95-th percentile407
Maximum554
Range517
Interquartile range (IQR)115

Descriptive statistics

Standard deviation91.284896
Coefficient of variation (CV)0.37264047
Kurtosis0.20030951
Mean244.96775
Median Absolute Deviation (MAD)57
Skewness0.42716861
Sum2187562
Variance8332.9323
MonotonicityNot monotonic
2025-02-19T11:43:30.203430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 130
 
1.5%
229 118
 
1.3%
192 101
 
1.1%
261 99
 
1.1%
247 97
 
1.1%
292 96
 
1.1%
204 94
 
1.1%
267 91
 
1.0%
270 86
 
1.0%
226 86
 
1.0%
Other values (254) 7932
88.8%
ValueCountFrequency (%)
37 25
0.3%
62 24
0.3%
65 32
0.4%
66 19
0.2%
67 21
0.2%
68 22
0.2%
74 24
0.3%
77 22
0.2%
79 15
0.2%
81 32
0.4%
ValueCountFrequency (%)
554 21
0.2%
552 12
0.1%
519 16
0.2%
506 22
0.2%
503 16
0.2%
490 12
0.1%
489 15
0.2%
484 14
0.2%
479 20
0.2%
477 17
0.2%

COSTE_MTO_PREV_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5004.8853
Minimum2304.66
Maximum8376.205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:30.441958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2304.66
5-th percentile3579.838
Q14367.4711
median5028.5262
Q35590.0938
95-th percentile6536.3012
Maximum8376.205
Range6071.545
Interquartile range (IQR)1222.6226

Descriptive statistics

Standard deviation897.62015
Coefficient of variation (CV)0.17934879
Kurtosis0.052720267
Mean5004.8853
Median Absolute Deviation (MAD)617.32717
Skewness0.070539388
Sum44693626
Variance805721.93
MonotonicityNot monotonic
2025-02-19T11:43:30.677709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5649.79 34
 
0.4%
4786.114 32
 
0.4%
5491.5325 30
 
0.3%
4390.721667 30
 
0.3%
5549.262 30
 
0.3%
5225.4425 29
 
0.3%
5745.093333 28
 
0.3%
4909.548571 28
 
0.3%
3626.808889 28
 
0.3%
5518.932727 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
2304.66 20
0.2%
2393.338182 11
0.1%
2729.271667 17
0.2%
2857.472 18
0.2%
2922.681 14
0.2%
2928.785 19
0.2%
2954.012 21
0.2%
2967.164 18
0.2%
2973.8025 12
0.1%
3140.7675 16
0.2%
ValueCountFrequency (%)
8376.205 13
0.1%
7443.45875 21
0.2%
7170.754 14
0.2%
7077.63 25
0.3%
7058.525 24
0.3%
7019.98 19
0.2%
7019.018333 11
0.1%
7017.6175 11
0.1%
6922.748 11
0.1%
6884.00625 21
0.2%

DURACION_HORAS_PREV_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct365
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.086703
Minimum7.3333333
Maximum38.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:30.949539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7.3333333
5-th percentile17
Q120.714286
median24.1
Q327.153846
95-th percentile31.8
Maximum38.2
Range30.866667
Interquartile range (IQR)6.4395604

Descriptive statistics

Standard deviation4.5736084
Coefficient of variation (CV)0.18988105
Kurtosis0.25629523
Mean24.086703
Median Absolute Deviation (MAD)3.2333333
Skewness0.025857155
Sum215094.25
Variance20.917893
MonotonicityNot monotonic
2025-02-19T11:43:31.188576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 151
 
1.7%
28 114
 
1.3%
25 96
 
1.1%
19.6 91
 
1.0%
25.5 89
 
1.0%
26 83
 
0.9%
19 82
 
0.9%
22 81
 
0.9%
29 74
 
0.8%
24 74
 
0.8%
Other values (355) 7995
89.5%
ValueCountFrequency (%)
7.333333333 13
0.1%
11 26
0.3%
11.16666667 20
0.2%
11.54545455 15
0.2%
12.3 18
0.2%
14.2 15
0.2%
14.42857143 18
0.2%
14.54545455 19
0.2%
14.57142857 10
 
0.1%
14.625 21
0.2%
ValueCountFrequency (%)
38.2 21
0.2%
37 15
0.2%
35.66666667 28
0.3%
35.1 19
0.2%
34.75 16
0.2%
34.66666667 19
0.2%
34.6 18
0.2%
34.4 19
0.2%
34.375 23
0.3%
34.33333333 18
0.2%

COSTE_MTO_PREV_TOTAL
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48886.965
Minimum8651.53
Maximum130868.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:31.426826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8651.53
5-th percentile20972.947
Q135969.89
median49571.53
Q359632.5
95-th percentile78421.35
Maximum130868.53
Range122217
Interquartile range (IQR)23662.61

Descriptive statistics

Standard deviation17403.767
Coefficient of variation (CV)0.35600015
Kurtosis0.49208306
Mean48886.965
Median Absolute Deviation (MAD)11213.78
Skewness0.32975714
Sum4.3656059 × 108
Variance3.028911 × 108
MonotonicityNot monotonic
2025-02-19T11:43:31.683632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45198.32 34
 
0.4%
47861.14 32
 
0.4%
65898.39 30
 
0.3%
26344.33 30
 
0.3%
55492.62 30
 
0.3%
20901.77 29
 
0.3%
17235.28 28
 
0.3%
34366.84 28
 
0.3%
32641.28 28
 
0.3%
60708.26 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
8651.53 11
0.1%
9218.64 20
0.2%
10351.48 15
0.2%
12169.87 26
0.3%
13686.22 13
0.1%
14287.36 18
0.2%
14770.06 21
0.2%
16214.51 13
0.1%
16375.63 17
0.2%
16402.3 14
0.2%
ValueCountFrequency (%)
130868.53 16
0.2%
102960.5 18
0.2%
98559.29 18
0.2%
96511.28 15
0.2%
94681.05 11
0.1%
94094.56 19
0.2%
90364.86 24
0.3%
89973.75 22
0.2%
89440.36 16
0.2%
87445.14 19
0.2%

DURACION_HORAS_PREV_TOTAL
Real number (ℝ)

High correlation 

Distinct265
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.02867
Minimum22
Maximum511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:31.937225image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile107
Q1176
median231
Q3285
95-th percentile380
Maximum511
Range489
Interquartile range (IQR)109

Descriptive statistics

Standard deviation84.797124
Coefficient of variation (CV)0.36079481
Kurtosis0.15472094
Mean235.02867
Median Absolute Deviation (MAD)55
Skewness0.4160953
Sum2098806
Variance7190.5522
MonotonicityNot monotonic
2025-02-19T11:43:32.191316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205 113
 
1.3%
249 110
 
1.2%
227 97
 
1.1%
232 94
 
1.1%
274 93
 
1.0%
195 92
 
1.0%
137 91
 
1.0%
209 91
 
1.0%
243 90
 
1.0%
264 89
 
1.0%
Other values (255) 7970
89.2%
ValueCountFrequency (%)
22 39
0.4%
48 11
 
0.1%
52 13
 
0.1%
67 20
0.2%
68 16
0.2%
73 19
0.2%
78 22
0.2%
79 16
0.2%
87 18
0.2%
89 23
0.3%
ValueCountFrequency (%)
511 19
0.2%
501 18
0.2%
486 11
0.1%
481 18
0.2%
462 21
0.2%
459 11
0.1%
458 16
0.2%
453 27
0.3%
445 13
0.1%
442 21
0.2%

COSTE_MTO_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4996.2594
Minimum2498.3807
Maximum6956.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:32.440842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2498.3807
5-th percentile3933.2762
Q14634.8669
median5002.5717
Q35369.58
95-th percentile6089.7083
Maximum6956.17
Range4457.7893
Interquartile range (IQR)734.71308

Descriptive statistics

Standard deviation624.12903
Coefficient of variation (CV)0.12491926
Kurtosis0.40097805
Mean4996.2594
Median Absolute Deviation (MAD)367.70482
Skewness-0.034613536
Sum44616597
Variance389537.05
MonotonicityNot monotonic
2025-02-19T11:43:32.687065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5139.631111 34
 
0.4%
4659.689286 32
 
0.4%
5401.144615 30
 
0.3%
4711.706 30
 
0.3%
5165.013529 30
 
0.3%
5207.550833 29
 
0.3%
4634.866923 28
 
0.3%
4837.675882 28
 
0.3%
4471.888571 28
 
0.3%
5539.485238 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
2498.380667 11
0.1%
2783.970667 15
0.2%
3356.644 11
0.1%
3385.696 18
0.2%
3527.9596 17
0.2%
3628.517826 24
0.3%
3634.188333 15
0.2%
3634.923077 13
0.1%
3654.544 20
0.2%
3679.5344 12
0.1%
ValueCountFrequency (%)
6956.17 13
0.1%
6790.311667 24
0.3%
6658.467857 11
0.1%
6602.345 15
0.2%
6513.377143 13
0.1%
6484.124375 25
0.3%
6481.694667 21
0.2%
6453.197222 19
0.2%
6388.24125 21
0.2%
6353.71 21
0.2%

DURACION_HORAS_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct423
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.115927
Minimum14.4
Maximum34.461538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:32.999146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.4
5-th percentile19.444444
Q122.142857
median24.210526
Q326
95-th percentile28.933333
Maximum34.461538
Range20.061538
Interquartile range (IQR)3.8571429

Descriptive statistics

Standard deviation2.9657913
Coefficient of variation (CV)0.12298061
Kurtosis0.48130704
Mean24.115927
Median Absolute Deviation (MAD)1.877193
Skewness0.10627665
Sum215355.22
Variance8.7959177
MonotonicityNot monotonic
2025-02-19T11:43:33.289008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 137
 
1.5%
24 96
 
1.1%
24.8 69
 
0.8%
24.66666667 62
 
0.7%
27 57
 
0.6%
22 56
 
0.6%
26.57142857 54
 
0.6%
25 53
 
0.6%
20.33333333 52
 
0.6%
24.27777778 52
 
0.6%
Other values (413) 8242
92.3%
ValueCountFrequency (%)
14.4 18
0.2%
15.33333333 21
0.2%
15.8125 18
0.2%
17.13333333 12
0.1%
17.1875 13
0.1%
17.2 17
0.2%
17.40909091 17
0.2%
17.42857143 16
0.2%
17.61111111 16
0.2%
18.21052632 17
0.2%
ValueCountFrequency (%)
34.46153846 25
0.3%
33.94736842 16
0.2%
32.52941176 24
0.3%
32.23076923 28
0.3%
31.73333333 10
 
0.1%
31.59090909 22
0.2%
31.45454545 18
0.2%
30.5 12
0.1%
30.42105263 18
0.2%
30.375 18
0.2%

COSTE_MTO_TOTAL
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99419.117
Minimum37475.71
Maximum187601.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:33.554588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum37475.71
5-th percentile61209.61
Q182460.22
median97658.58
Q3115059.15
95-th percentile144802.02
Maximum187601.77
Range150126.06
Interquartile range (IQR)32598.93

Descriptive statistics

Standard deviation25233.439
Coefficient of variation (CV)0.25380872
Kurtosis0.16683309
Mean99419.117
Median Absolute Deviation (MAD)16334.86
Skewness0.40762092
Sum8.8781272 × 108
Variance6.3672643 × 108
MonotonicityNot monotonic
2025-02-19T11:43:33.801159image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92513.36 34
 
0.4%
65235.65 32
 
0.4%
140429.76 30
 
0.3%
70675.59 30
 
0.3%
87805.23 30
 
0.3%
62490.61 29
 
0.3%
60253.27 28
 
0.3%
82240.49 28
 
0.3%
93909.66 28
 
0.3%
116329.19 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
37475.71 11
0.1%
41036.89 20
0.2%
41280.32 26
0.3%
41759.56 15
0.2%
43995.31 18
0.2%
45538.64 14
0.2%
45593.64 13
0.1%
47254 13
0.1%
50349.66 11
0.1%
50785.44 18
0.2%
ValueCountFrequency (%)
187601.77 14
0.2%
183067.45 19
0.2%
171184.2 16
0.2%
165278.54 21
0.2%
164986.19 16
0.2%
163698.37 12
0.1%
162201.68 18
0.2%
161622.62 20
0.2%
161084.75 14
0.2%
160542.87 20
0.2%

DURACION_HORAS_TOTAL
Real number (ℝ)

High correlation 

Distinct314
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean479.99642
Minimum178
Maximum854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T11:43:34.063090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum178
5-th percentile297
Q1390
median470
Q3562
95-th percentile686
Maximum854
Range676
Interquartile range (IQR)172

Descriptive statistics

Standard deviation120.45208
Coefficient of variation (CV)0.2509437
Kurtosis-0.21694685
Mean479.99642
Median Absolute Deviation (MAD)86
Skewness0.24810746
Sum4286368
Variance14508.703
MonotonicityNot monotonic
2025-02-19T11:43:34.311390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
620 109
 
1.2%
544 89
 
1.0%
534 86
 
1.0%
495 85
 
1.0%
592 80
 
0.9%
456 78
 
0.9%
638 77
 
0.9%
389 77
 
0.9%
394 73
 
0.8%
336 70
 
0.8%
Other values (304) 8106
90.8%
ValueCountFrequency (%)
178 13
0.1%
184 21
0.2%
199 20
0.2%
214 26
0.3%
216 18
0.2%
231 16
0.2%
236 22
0.2%
243 19
0.2%
244 16
0.2%
253 18
0.2%
ValueCountFrequency (%)
854 18
0.2%
837 11
0.1%
819 12
0.1%
810 21
0.2%
803 14
0.2%
774 25
0.3%
756 17
0.2%
752 16
0.2%
744 11
0.1%
740 19
0.2%

Interactions

2025-02-19T11:43:13.874605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:40:57.097734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:02.407681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:11.442282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:16.706657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:22.357055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:27.685185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:34.036265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:39.537589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:45.197059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:50.993058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:56.350139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:01.859568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:07.702050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:12.886729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:18.579527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:23.825132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:29.867142image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:35.246126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:40.652406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:46.186056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:51.457831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:57.607471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:02.793420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:08.394998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:14.080178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:40:57.292413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:02.617366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:11.635652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:16.901294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:22.557478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:27.876062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:34.360696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:39.745815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:45.438151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:51.190577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:56.557386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:02.068547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:07.897982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:13.092767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:18.773662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:24.068933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:30.063421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:35.443414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:40.860822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:46.386779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:51.654632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:57.800483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:03.019525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:08.594085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:14.287051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:40:57.492457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:02.937122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:11.853448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:17.104822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:22.765362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:28.076983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:34.587109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:39.960442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:45.647062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:51.391454image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:56.773209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:02.280360image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:08.101304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:13.313112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:18.976707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:24.279524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:30.267647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:35.657555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:41.064109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:46.591388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:51.881929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:58.003931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:03.234739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:08.813883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:14.494203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:40:57.685973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:03.171821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:12.052711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:17.320354image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:22.974896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:28.297672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:34.806620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:40.170147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:45.866391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:51.592627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:56.992001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:02.517739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:08.301121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:13.519687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:19.174482image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:24.505975image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2025-02-19T11:42:33.817126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:39.371312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:44.725349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:50.183535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:55.408214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:01.530956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:07.049628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:12.532785image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:18.277020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:01.300578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:10.259907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:15.658630image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:21.153265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:26.620668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:32.680696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:38.443988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:44.076706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:49.922369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:55.259481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:00.746935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:06.642683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:11.834376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:17.496078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:22.726491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:28.174191image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:34.022297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:39.578457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:44.940202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:50.385913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:55.617927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:01.738055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:07.288150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:12.746035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:18.484878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:01.503487image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:10.464223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:15.860661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:21.388310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:26.827633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:32.887314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:38.654198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:44.294088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:50.130932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:55.466861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:00.965271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:06.876363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:12.040617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:17.709925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:22.936105image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:28.401412image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:34.222857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:39.794852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:45.148438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:50.593063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:55.828838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:01.942806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:07.502997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:12.959136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:18.689618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:01.705854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:10.672390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:16.062367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:21.645596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:27.028935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:33.087534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:38.866772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:44.512355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:50.335473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:55.665352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:01.177087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:07.070757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:12.241702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:17.911378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:23.142287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:29.212290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:34.419658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:39.996220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:45.375941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:50.806092image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:56.097736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:02.140734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:07.712132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:13.169867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:18.922456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:01.938153image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:10.970297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:16.285321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:21.928032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:27.254622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:33.407202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:39.117057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:44.748893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:50.561857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:55.887765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:01.407975image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:07.288374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:12.460198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:18.139843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:23.377795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:29.436362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:34.641208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:40.220425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:45.754887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:51.030508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:56.403307image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:02.360796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:07.946883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:13.399495image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:19.144918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:02.195982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:11.184001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:16.498888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:22.147599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:27.470663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:33.684576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:39.330346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:44.976295image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:50.778589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:41:56.140008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:01.634984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:07.498268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:12.677367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:18.363063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:23.605909image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:29.649571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:34.945696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:40.440612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:45.972767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:51.245020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:42:56.619655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:02.573825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:08.174357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T11:43:13.619646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2025-02-19T11:43:34.562378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
COSTE_MTO_CORR_MEDIO_POR_ORDENCOSTE_MTO_CORR_TOTALCOSTE_MTO_MEDIO_POR_ORDENCOSTE_MTO_PREV_MEDIO_POR_ORDENCOSTE_MTO_PREV_TOTALCOSTE_MTO_TOTALDIAS_ENTRE_FALL_CONSECDURACION_HORAS_CORR_MEDIO_POR_ORDENDURACION_HORAS_CORR_TOTALDURACION_HORAS_MEDIO_POR_ORDENDURACION_HORAS_PREV_MEDIO_POR_ORDENDURACION_HORAS_PREV_TOTALDURACION_HORAS_TOTALHoras_OperativasID_EquipoID_RegistroMEDIA_HORAS_OPERATIVASMEDIA_TEMPMEDIA_VIBROrdenes_CorrectivoOrdenes_PreventivoTemperatura_CTotal_OrdenesVibracion_mm_sVida_util_estimada
COSTE_MTO_CORR_MEDIO_POR_ORDEN1.0000.4230.672-0.016-0.0500.298-0.0160.0650.0020.0430.017-0.015-0.020-0.0080.028-0.000-0.025-0.011-0.016-0.019-0.031-0.004-0.0370.001-0.004
COSTE_MTO_CORR_TOTAL0.4231.0000.304-0.035-0.0360.709-0.7590.0430.7820.015-0.018-0.0340.546-0.0200.011-0.018-0.090-0.040-0.0110.873-0.010-0.0080.6070.000-0.017
COSTE_MTO_MEDIO_POR_ORDEN0.6720.3041.0000.6590.2550.414-0.0100.0720.0140.0490.025-0.030-0.0260.0060.0180.0120.0250.005-0.011-0.009-0.0650.001-0.0550.0010.009
COSTE_MTO_PREV_MEDIO_POR_ORDEN-0.016-0.0350.6591.0000.4170.2560.0200.048-0.0040.011-0.010-0.030-0.0390.0200.0020.0240.0780.023-0.031-0.019-0.0460.006-0.055-0.0040.067
COSTE_MTO_PREV_TOTAL-0.050-0.0360.2550.4171.0000.641-0.0180.001-0.013-0.054-0.0480.7520.5130.016-0.0040.0160.0610.0380.006-0.0120.8580.0130.5770.0030.039
COSTE_MTO_TOTAL0.2980.7090.4140.2560.6411.000-0.5730.0440.568-0.019-0.0490.4910.771-0.0020.0080.003-0.017-0.006-0.0260.6310.5750.0030.863-0.0030.023
DIAS_ENTRE_FALL_CONSEC-0.016-0.759-0.0100.020-0.018-0.5731.000-0.077-0.763-0.0280.015-0.012-0.5710.0210.0130.0160.0990.0250.048-0.860-0.0380.006-0.6220.009-0.021
DURACION_HORAS_CORR_MEDIO_POR_ORDEN0.0650.0430.0720.0480.0010.044-0.0771.0000.4530.657-0.064-0.0400.311-0.003-0.0450.0080.009-0.0890.0090.038-0.020-0.0200.0130.0070.049
DURACION_HORAS_CORR_TOTAL0.0020.7820.014-0.004-0.0130.568-0.7630.4531.0000.299-0.047-0.0420.698-0.016-0.018-0.015-0.069-0.077-0.0170.887-0.003-0.0170.622-0.0010.007
DURACION_HORAS_MEDIO_POR_ORDEN0.0430.0150.0490.011-0.054-0.019-0.0280.6570.2991.0000.6390.2580.408-0.005-0.0450.020-0.014-0.037-0.0270.011-0.061-0.011-0.030-0.0050.053
DURACION_HORAS_PREV_MEDIO_POR_ORDEN0.017-0.0180.025-0.010-0.048-0.0490.015-0.064-0.0470.6391.0000.4040.2380.001-0.0060.020-0.0060.051-0.025-0.018-0.0540.009-0.052-0.0090.031
DURACION_HORAS_PREV_TOTAL-0.015-0.034-0.030-0.0300.7520.491-0.012-0.040-0.0420.2580.4041.0000.6500.006-0.0150.0210.0180.0530.009-0.0240.8630.0140.574-0.0010.032
DURACION_HORAS_TOTAL-0.0200.546-0.026-0.0390.5130.771-0.5710.3110.6980.4080.2380.6501.000-0.008-0.0140.004-0.040-0.032-0.0160.6330.596-0.0040.884-0.0020.024
Horas_Operativas-0.008-0.0200.0060.0200.016-0.0020.021-0.003-0.016-0.0050.0010.006-0.0081.0000.008-0.0020.2360.0080.015-0.0140.008-0.014-0.007-0.0030.097
ID_Equipo0.0280.0110.0180.002-0.0040.0080.013-0.045-0.018-0.045-0.006-0.015-0.0140.0081.000-0.0010.0670.0330.008-0.012-0.0020.0110.001-0.002-0.069
ID_Registro-0.000-0.0180.0120.0240.0160.0030.0160.008-0.0150.0200.0200.0210.004-0.002-0.0011.0000.005-0.0170.021-0.0190.0120.009-0.004-0.0030.017
MEDIA_HORAS_OPERATIVAS-0.025-0.0900.0250.0780.061-0.0170.0990.009-0.069-0.014-0.0060.018-0.0400.2360.0670.0051.0000.0370.048-0.0730.0260.011-0.0470.0130.386
MEDIA_TEMP-0.011-0.0400.0050.0230.038-0.0060.025-0.089-0.077-0.0370.0510.053-0.0320.0080.033-0.0170.0371.0000.048-0.0410.0360.231-0.0090.008-0.027
MEDIA_VIBR-0.016-0.011-0.011-0.0310.006-0.0260.0480.009-0.017-0.027-0.0250.009-0.0160.0150.0080.0210.0480.0481.000-0.0100.0180.016-0.0060.2310.009
Ordenes_Correctivo-0.0190.873-0.009-0.019-0.0120.631-0.8600.0380.8870.011-0.018-0.0240.633-0.014-0.012-0.019-0.073-0.041-0.0101.0000.006-0.0080.705-0.0000.004
Ordenes_Preventivo-0.031-0.010-0.065-0.0460.8580.575-0.038-0.020-0.003-0.061-0.0540.8630.5960.008-0.0020.0120.0260.0360.0180.0061.0000.0130.6800.0030.025
Temperatura_C-0.004-0.0080.0010.0060.0130.0030.006-0.020-0.017-0.0110.0090.014-0.004-0.0140.0110.0090.0110.2310.016-0.0080.0131.0000.003-0.009-0.005
Total_Ordenes-0.0370.607-0.055-0.0550.5770.863-0.6220.0130.622-0.030-0.0520.5740.884-0.0070.001-0.004-0.047-0.009-0.0060.7050.6800.0031.0000.0000.002
Vibracion_mm_s0.0010.0000.001-0.0040.003-0.0030.0090.007-0.001-0.005-0.009-0.001-0.002-0.003-0.002-0.0030.0130.0080.231-0.0000.003-0.0090.0001.0000.008
Vida_util_estimada-0.004-0.0170.0090.0670.0390.023-0.0210.0490.0070.0530.0310.0320.0240.097-0.0690.0170.386-0.0270.0090.0040.025-0.0050.0020.0081.000

Missing values

2025-02-19T11:43:19.497421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-19T11:43:20.204823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

ID_RegistroID_EquipoFechaTemperatura_CVibracion_mm_sHoras_OperativasMEDIA_TEMPMEDIA_VIBRMEDIA_HORAS_OPERATIVASVida_util_estimadaTotal_OrdenesOrdenes_CorrectivoOrdenes_PreventivoDIAS_ENTRE_FALL_CONSECCOSTE_MTO_CORR_MEDIO_POR_ORDENDURACION_HORAS_CORR_MEDIO_POR_ORDENCOSTE_MTO_CORR_TOTALDURACION_HORAS_CORR_TOTALCOSTE_MTO_PREV_MEDIO_POR_ORDENDURACION_HORAS_PREV_MEDIO_POR_ORDENCOSTE_MTO_PREV_TOTALDURACION_HORAS_PREV_TOTALCOSTE_MTO_MEDIO_POR_ORDENDURACION_HORAS_MEDIO_POR_ORDENCOSTE_MTO_TOTALDURACION_HORAS_TOTAL
011472020-01-01 00:00:00124.613.4961609.099.4573912.67782647607.91304398041.02115624.5000004655.79333321.66666769836.903255240.87666727.83333331445.261674822.96000023.428571101282.16492
121112020-01-01 01:00:0058.123.6249474.0103.0010532.90842157912.31578998810.02113830.2500006208.58384623.07692380711.593004420.49250025.62500035363.942055527.40619024.047619116075.53505
234752020-01-01 02:00:00124.863.3659760.094.9160002.58766743984.60000093220.0159646.2500004925.69555620.66666744331.261864390.72166722.83333326344.331374711.70600021.53333370675.59323
343372020-01-01 03:00:00110.451.5627752.098.9664293.33857134443.64285777730.024131132.5833333019.07384627.15384639247.963535508.71000022.27272760595.812454160.15708324.91666799843.77598
452122020-01-01 04:00:0070.534.8933066.080.9838892.72777846399.55555698578.01911831.3000005767.43000021.90909163441.732414795.37875031.62500038363.032535358.14526326.000000101804.76494
563772020-01-01 05:00:00142.320.7720984.097.1921052.92947452174.52631698928.01811739.8000005319.98545519.09090958519.842105006.32142928.42857135044.251995198.00500022.72222293564.09409
67412020-01-01 06:00:0076.172.8236053.089.7273682.22052649753.78947485770.01841460.6666674739.22500016.50000018956.90663571.68571426.57142950003.603723831.13888924.33333368960.50438
782272020-01-01 07:00:0087.212.9725377.099.9850002.41050048674.15000084791.095481.0000006363.65000020.60000031818.251032304.66000024.0000009218.64964559.65444422.11111141036.89199
89152020-01-01 08:00:00116.380.5071354.094.4037502.35937553825.87500095381.021111038.2000005136.69727323.72727356503.672615808.32200025.40000058083.222545456.51857124.523810114586.89515
9102982020-01-01 09:00:0078.962.7248381.096.1595242.26333352795.76190599769.02491535.8750005928.57444425.44444453357.172294694.08666722.80000070411.303425157.01958323.791667123768.47571
ID_RegistroID_EquipoFechaTemperatura_CVibracion_mm_sHoras_OperativasMEDIA_TEMPMEDIA_VIBRMEDIA_HORAS_OPERATIVASVida_util_estimadaTotal_OrdenesOrdenes_CorrectivoOrdenes_PreventivoDIAS_ENTRE_FALL_CONSECCOSTE_MTO_CORR_MEDIO_POR_ORDENDURACION_HORAS_CORR_MEDIO_POR_ORDENCOSTE_MTO_CORR_TOTALDURACION_HORAS_CORR_TOTALCOSTE_MTO_PREV_MEDIO_POR_ORDENDURACION_HORAS_PREV_MEDIO_POR_ORDENCOSTE_MTO_PREV_TOTALDURACION_HORAS_PREV_TOTALCOSTE_MTO_MEDIO_POR_ORDENDURACION_HORAS_MEDIO_POR_ORDENCOSTE_MTO_TOTALDURACION_HORAS_TOTAL
892089913932021-01-09 14:00:0092.542.9294808.093.7742112.50473759880.94736898811.02617924.4375005592.17235325.17647195066.934286702.75777823.77777860324.822145976.60576924.692308155391.75642
892189921242021-01-09 15:00:0075.532.4296596.094.9621432.67285754508.57142996596.0115691.0000004297.91600028.40000021489.581424008.17666720.50000024049.061234139.87636424.09090945538.64265
892289932642021-01-09 16:00:00146.734.4125814.0103.9915002.95400052182.85000099079.01991045.8750005151.20666730.00000046360.862703349.17900019.60000033491.791964202.77105324.52631679852.65466
892389943452021-01-09 17:00:0084.503.3219143.0104.1512502.37750047085.25000095315.01971252.0000005721.87285720.57142940053.111444527.56166723.66666754330.742844967.57105322.52631694383.85428
89248995322021-01-09 18:00:00141.102.1513503.0107.6570002.67733346243.50000097810.026141227.9230775323.66928622.92857174531.373215491.53250026.08333365898.393135401.14461524.384615140429.76634
892589962012021-01-09 19:00:00112.751.0756253.091.5080001.99333344927.26666795906.023131024.3333334335.08153826.61538556356.063465506.35000014.20000055063.501424844.32869621.217391111419.56488
892689974752021-01-09 20:00:0050.673.2827276.094.9160002.58766743984.60000093220.0159646.2500004925.69555620.66666744331.261864390.72166722.83333326344.331374711.70600021.53333370675.59323
89278998962021-01-09 21:00:00133.860.7475860.0109.6138892.65333349443.38888990895.022121029.2727274579.73583324.33333354956.832922967.16400023.00000029671.642303846.74863623.72727384628.47522
892889994492021-01-09 22:00:0084.721.7711775.0103.9860002.69750047536.15000095095.023111230.0000005234.59181817.90909157580.511975764.24666728.00000069170.963365510.93347823.173913126751.47533
892990004552021-01-09 23:00:00127.401.347354.098.0010532.39631641951.31578999195.02215724.2142864324.86266724.80000064872.943724719.64857128.57142933037.542004450.47636426.00000097910.48572